LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles

Shervin Malmasi; Mark Dras; Marcos Zampieri

doi:10.18653/v1/s16-1154

LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles

Shervin Malmasi, Mark Dras, Marcos Zampieri

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

30 Citations (Scopus)

25 Downloads (Pure)

Abstract

We present the description of the LTG entry in the SemEval-2016 Complex Word Identification (CWI) task, which aimed to develop systems for identifying complex words in English sentences. Our entry focused on the use of contextual language model features and the application of ensemble classification methods. Both of our systems achieved good performance, ranking in 2nd and 3rd place overall in terms of F-Score.

Original language	English
Title of host publication	Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)
Place of Publication	Stroudsburg, PA
Publisher	Association for Computational Linguistics
Pages	996-1000
Number of pages	5
ISBN (Electronic)	9781941643952
DOIs	https://doi.org/10.18653/v1/s16-1154
Publication status	Published - 2016
Event	International Workshop on Semantic Evaluation (10th : 2016) - San Diego, United States Duration: 16 Jun 2016 → 17 Jun 2016

Conference

Conference	International Workshop on Semantic Evaluation (10th : 2016)
Country/Territory	United States
City	San Diego
Period	16/06/16 → 17/06/16

Bibliographical note

Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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10.18653/v1/s16-1154

Publisher version (open access)Final published version, 373 KBLicence: CC BY

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title = "LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles",

abstract = "We present the description of the LTG entry in the SemEval-2016 Complex Word Identification (CWI) task, which aimed to develop systems for identifying complex words in English sentences. Our entry focused on the use of contextual language model features and the application of ensemble classification methods. Both of our systems achieved good performance, ranking in 2nd and 3rd place overall in terms of F-Score.",

author = "Shervin Malmasi and Mark Dras and Marcos Zampieri",

note = "Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher. ; International Workshop on Semantic Evaluation (10th : 2016) ; Conference date: 16-06-2016 Through 17-06-2016",

year = "2016",

doi = "10.18653/v1/s16-1154",

language = "English",

pages = "996--1000",

booktitle = "Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)",

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Malmasi, S , Dras, M & Zampieri, M 2016, LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles. in Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). Association for Computational Linguistics, Stroudsburg, PA, pp. 996-1000, International Workshop on Semantic Evaluation (10th : 2016), San Diego, United States, 16/06/16. https://doi.org/10.18653/v1/s16-1154

LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles. / Malmasi, Shervin ; Dras, Mark; Zampieri, Marcos.
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016). Stroudsburg, PA: Association for Computational Linguistics, 2016. p. 996-1000.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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LTG at SemEval-2016 task 11: Complex Word Identification with Classifier Ensembles

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